• Journal of the Korean Society for Aviation and Aeronautics
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• v.25 no.1
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• pp.11-22
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• 2017

Aviation/tourism industry has a unique characteristic of high inter-dependance between customer and service-provider. It is the mental condition of service-provider that could influence on the attitude of the service-provider. Thus, it is important to manage the mental condition of the service employees to enhance a company's financial performance. This paper tries to analyze the combined model of both policy acceptance and service profit chain(SPC) models. First, service policy acceptance model tells how the service policy acceptance, which consists of policy compliance, trust, participation and policy failure, would influence on SPC model. According to empirical research, it was found that both the employees' policy compliance and the policy trust have a positive significant impact on their participation on service policy. In the policy acceptance model, the employee's voluntary participation based on their trust and compliance of the policy was proven to have a positive effect on increasing job satisfaction and customer orientation. Regarding SPC model, their participation in the policy had the strongest impact among variables on customer orientation. Such results implies the employees' participation on the policy could become the starting point to enhance the customer value.

• Journal of Families and Better Life
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• v.20 no.3
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• pp.113-124
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• 2002

The purpose of this study was to identify the subarea of customer complaints handling service and to accomplish the data for an improvement of complaints handling get service through the evaluation of the importance and performance on customer handling service as subdivisions of customer complaints handling service. The data were collected 303 female/male, 20-30 age by outline survey. The major findings of this study were as follows: 1) The subdivisions of customer complaints handling service were classified into four different factors ; promptness, empathy, information, policy factors. 2) As the subdivisions factors, importance was promptness, empathy>information>policy factor and performance was empathy>information>promptness>policy factor in order. 3) There were question asking the performance evaluation of influencing the total satisfaction of customer complaints handling service. There were promptness, empathy of performance evaluation of influencing the total satisfaction.

• Journal of the military operations research society of Korea
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• v.28 no.2
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• pp.1-19
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• 2002

This study shows the effect of inventory policy change from supplier-based to customer-based. We focus on the service level, cost, and information distortion of the Military Supply Chain(MSC) with System Dynamics. We design MSC model according to field practician interviews by using Vensim. The simulation makes a comparison between supply-based inventory policy performances and order-based inventory policy performances. In order to evaluate the MSC performances, we measure the accumulation of backlog(service level), supply chain cost, and order percentage overshoot(information distortion). The results show that 1) changing inventory policy from supplier-based to end customer order-based gets a good customer service, reduces MSC cost, and prevents information distortion, 2) changing inventory policy from supplier-based to immediate customer order-based reduces a small amount of MSC cost and deteriorates customer service, and 3) supply level is main factor for MSC performances improvement. This study implicates the policy change makes a improvement of MSC performance without introducing information system.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.38 no.2
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• pp.91-100
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• 2015

In this study, we propose an efficient two-phase heuristic policy, called an acceptance tolerance control policy, for Infrastructure as a Service (IaaS) cloud services that considers both the service provider and customer in terms of profit and satisfaction, respectively. Each time an IaaS cloud service is requested, this policy determines whether the service is accepted or rejected by calculating the potential for realizing the two performance objectives. Moreover, it uses acceptance tolerance to identify the possibility for error with the chosen decision while compensating for both future fluctuations in customer demand and error possibilities based on past decisions. We conducted a numerical experiment to verify the performance of the proposed policy using several actual IaaS cloud service specifications and comparing it with other heuristics.

• Asian Journal of Innovation and Policy
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• v.6 no.2
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• pp.192-205
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• 2017

The aim of this study is to investigate the relative impact of the image of information service on customer's perceived value and satisfaction of R&D information. It also seeks to assess the moderating effect of service users' skills on the value of the service image on the customer. For this purpose, a field study was conducted on users of a public R&D information service called NTIS (National Technology Information Service) in Korea. The findings show that the information service image has a significant impact on customers' perceived value and satisfaction. In addition, customers' perceived value is found to be an important indicator in strengthening customer satisfaction. Findings also reveal that individual personal computer skills moderate the relationship between service image and information value. Further research is needed to strengthen the independent variable in view of the increasing pressure to improve public service quality and customer management.

• Communications for Statistical Applications and Methods
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• v.25 no.4
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• pp.443-451
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• 2018

$P^M_{\lambda}$-service policy is a workload dependent hysteretic policy. The policy has two service states comprised of the ordinary stage and the fast stage. An ordinary service stage is initiated by the arrival of a customer in an idle state. When the workload of the server surpasses threshold ${\lambda}$, the ordinary service stage changes to the fast service state, and it continues until the system is empty. These service stages alternate in this manner. When the cost of changing service stages is high, the hysteretic policy is more efficient than the threshold policy, where a service stage changes immediately into the other service stage at either case of the workload's surpassing or crossing down a threshold. $P^M_{\lambda}$-service policy is a modification of $P^M_{\lambda}$-policy proposed to control finite dams, and also an extension of the well-known D-policy. The distributions of the stationary workload of $P^M_{\lambda}$-service policy and its variants are studied well. However, there is no known result on the sojourn time distribution. We prove that there is a relation between the sojourn time of a customer and the first up-crossing time of the workload process over the threshold ${\lambda}$ after the arrival of the customer. Using the relation and the duality of M/G/1 and G/M/1 queues, we obtain conditional sojourn time distributions in M/G/1 and G/M/1 queues under the policy.

• Korean Management Science Review
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• v.31 no.2
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• pp.87-103
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• 2014

This study looks for the service factors influencing to conversion among the domestic telecommunication companies and finds out the effect which the switching benefit affect the customer satisfaction and the switching intention. Eight service factors of the telecommunication company such as usability, call quality, terminal quality, auxiliary service, rates, after service, application and brand image are selected and verified using the structural equation model. Auxiliary service, rates and brand image give positive (+) effects to the customer's satisfaction, but the application gives negative (-) effects to the customer's satisfaction. Switching benefit affects significantly to the switching intention, but not to the customer satisfaction. The customer satisfaction gives a positive effect to the switching intention. The telecommunication service factors influence to customer satisfaction and switching intention, and switching benefit also influences to switching intention. It was analyzed that the significant influencing service factors were a little different among the telecommunication companies.

• Journal of the Korean Society of Clothing and Textiles
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• v.28 no.1
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• pp.12-21
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• 2004

The purposes of this research were (1) to identify service quality and apparel quality in apparel stores, (2) to examine the influence of service quality, product quality and price on customer satisfaction, (3) to examine the influence of service quality, product quality, price and customer satisfaction on repurchase intention that is important feature of store patronage. The data was collected from 435 female students, career women, and house wives using questionnaire and analyzed by frequency analysis, factor analysis, reliability analysis and regression. The results of this research were as follows: (1) Service quality in apparel stores was divided into six factors: facilities and policy/ salesperson VMD/ after service/ impression and atmosphere/ promotion. (2) Product quality was divided into four factors: objective feature/ expressive feature/ wearing sensation/ fitness. (3) Service quality, product quality, price influenced customer satisfaction. (4) Product quality, price and customer satisfaction influenced repurchase intention directly, but service quality influenced repurchase intention indirectly. (5) Service quality factors that influenced customer to have repurchase intention were facilities and policy, salesperson, and VMD. (6) Product quality factors that influenced customer to have repurchase intention were objective feature and wearing sensation.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.40 no.4
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• pp.87-95
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• 2017

This study aims to configure what dimensions make up for smart phone after service quality, and how this service quality affects customer satisfaction and customer loyalty. Smart phone market is a market of the device leading the digital convergence as well as positioning itself as one of the national growth driving industry. To survive in this matured market, companies should have to respond actively to radical changes and customers needs in the so-called Smart Revolution environment. Lately, however, the smart phone market is prospected to move from growth phase to mature phase by the scholars. In order to proactively respond to the change in such market condition, companies need to provide absolute advantage in customer loyalty over their competitors by revolutionizing the after-sales service quality. Qualified A/S will lead to service satisfaction and achieve customer loyalty. The empirical analysis results obtained through A/S quality are as follows : First, human quality (attitude, expertise, problem-solvability), environment quality (handling agility, convenience, comfort), service policy quality (quality guarantee, additional service operation) are dimensions that make up for A/S quality. Second, A/S quality dimension showed a significant positive influence on service satisfaction and A/S satisfaction showed a positive influence on customer loyalty as well. Based on this empirical study, we propose some implications for A/S quality improvement. First, human quality dimension has relatively higher influence on A/S satisfaction in case of free A/S, so companies need to solve the product problem completely when consumer's first visit by continual employee education. Second, in case of paid A/S, the service policy quality-especially A/S Warranty period- has higher influence on A/S satisfaction.

• Journal of the Korean Operations Research and Management Science Society
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• v.37 no.2
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• pp.31-43
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• 2012

Delivery of a good quality of service in an efficient manner requires matching the supply of capacity with customer demand. Much research has employed queueing models that analyzed the service system on the basis of independent and stationary customer arrivals. However, the appointment system, which is widely used to facilitate customer access to service in many industries including healthcare, has significant influence on the customer arrival process so that the independent and stationary assumption does not hold in an appointment-based service system. In this regard, this paper aims to propose a model for accurate illustration of the appointment-based customer arrival process. The use of the proposed model allows us to evaluate the overall system performance such as mean waiting time and service level under various appointment policies instead of conducting simulation studies.